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List of best JavaScript components for report application

The right choice of web reporting tool can be a crucial factor for any data-driven business. Software development is a truly complex process that requires managing and coordinating many different modules and components for a reporting solution to work flawlessly.  So in this article, we decided to dive into the exciting world of JavaScript libraries and components for report applications, web reporting tools, or software with reporting elements and created a collection of the best JavaScript libraries for report applications.

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Every month, CodePen organizes a challenge for individuals to showcase their creative abilities through mini-projects. If you haven’t checked out the previous challenge yet, don’t miss this fantastic opportunity! Take a look at our past pens, such as one focused on “How to Use Pivot Tables to Create Web Reports in Different Styles” and another where we delved into creating stunning “Bubble Text.”

With the new month on the horizon, a fresh CodePen challenge has been unveiled! This time, the challenge revolved around Filters.

What is Filtering and its Function in Front-End?

Let’s start with what filters are and why they’re important. 

Filtering allows users to narrow down a large dataset to find specific information quickly and efficiently. In front-end development, filtering techniques are implemented using JavaScript and CSS to manipulate data displayed on a web page without requiring additional requests to the server. This approach offers several advantages:

  • Enhanced User Experience: Front-end filtering provides a smoother and more responsive user experience by instantly updating the displayed data based on user interaction. This is because filtering happens on the user’s device, eliminating the need to wait for server responses.
  • Reduced Server Load: By handling filtering on the front end, you can significantly reduce the load on your server, especially when dealing with large datasets. Only the filtered data needs to be rendered and visualized in the browser, minimizing the amount of data transferred between the server and the client.

It’s important to consider a few factors when implementing front-end filtering:

  • Data Size: Front-end filtering might not be suitable for very large datasets. Complex filtering operations on massive amounts of data can lead to performance issues in the browser.
  • Security: When dealing with sensitive data, it’s crucial to perform the filtering on the back-end server. This ensures that sensitive information is not exposed or manipulated on the client-side (user’s browser).

If you’re looking to improve the way users interact with your data, consider incorporating front-end filtering techniques into your next project!  

Let’s now dive into our challenge. Throughout the month, each week presented a new opportunity for participants to experiment with front-end filtering, employing various methods, including CSS, JavaScript, and SVG.

Below, we proudly present our results! Consistently, WebDataRocks is our foundational tool, and CodePen tasks are our inspiration.

Week 1. CSS filter

In this CodePen example, a blur effect is applied to specific cells in the WebDataRocks Pivot Table through CSS, toggling this effect based on user interaction. Here’s a breakdown of how it operates:

Adding a Blur Effect with CSS

This is how to create a blurred element using CSS. We’ll achieve this with a class and a special filter property.

  • The ‘hidden’ Class: We’ll define a CSS class named hidden that applies the blur effect.
  • The ‘filter: blur()’ Property: The property is responsible for creating the blur effect. The value following blur() determines the intensity of the blur. In our case, it’s set to 2.5px, which creates a moderate blur effect.
#wdr-pivot-view #wdr-grid-view div.hidden {

  filter: blur(2.5px);

}

JavaScript implementation.

The JavaScript snippet establishes an event handler for the “cellclick” event on the pivot table. Upon clicking a cell, this handler records the row and column indexes of that cell into the visibleNumber object. The pivot.customizeCell() function is then employed to tailor the cell’s display within the pivot table. Specifically, within the customizeCell routine, it:

  • Verifies if the cell is of type “value,” indicating it holds numeric data.
  • Confirms that the cell isn’t designed for drill-through actions (cells that can be expanded to reveal more data).
  • Determines whether the cell represents a grand total for a column (the aggregate of all rows in a column).
  • Conceals cells in grand total columns that don’t correspond to the indexes of the selected cell.
const visibleNumber = {
  rowIndex: undefined,
  columnIndex: undefined
}

pivot.on("cellclick", (cell) => {
  visibleNumber.rowIndex = cell.rowIndex;
  visibleNumber.columnIndex = cell.columnIndex;
  pivot.refresh();
});

pivot.customizeCell((cellBuilder, cellData) => {
  if (cellData.type == "value" &&
    !cellData.isDrillThrough &&
    cellData.isGrandTotalColumn &&
    !(cellData.rowIndex == visibleNumber.rowIndex &&
      cellData.columnIndex == visibleNumber.columnIndex)) {
    cellBuilder.addClass("hidden");
  }
});

Here’s what happens:

  • Upon a user’s click on a cell within the pivot table, the event listener seizes the row and column indexes of the selected cell and marks it as visible. 
  • Subsequently, the customizeCell function sweeps through all cells present in the pivot table. 
  • If a cell meets the condition of being a grand total column and does not align with the row and column indexes of the clicked cell, it is assigned the “hidden” class. This class triggers a blur effect on these specific cells.

In short, clicking a cell in a pivot table lets you explore your data in more detail by temporally removing the blur effect on specific cells within the WebDataRocks pivot table through their interactions.

Week 2. JavaScript filter

In this scenario, the JavaScript function is tailored to enhance the WebDataRocks Toolbar by specifically eliminating the “Connect” tab. Let’s delve into its functionality:

  • customizeToolbar Function: This function is invoked to customize the Toolbar, requiring the Toolbar object as a parameter that signifies the pivot table’s Toolbar.
  • Retrieve Existing Tabs: The getTabs() method of the Toolbar object obtains an array containing all current tabs within the Toolbar.
  • Tab Filtering Process: The filter() method is applied to the array of tabs retrieved through getTabs(). Within the filter function, each tab undergoes a check to determine if its id does not match “wdr-tab-connect”. Tabs failing this check are included in the filtered array, thus eliminating the “Connect” tab from the Toolbar.
  • Provide Filtered Tabs: Following the filtration process, the function yields the updated array of tabs excluding the “Connect” tab.
  • Integration with WebDataRocks: This function can be assigned to the beforetoolbarcreated property within the WebDataRocks configuration object to achieve seamless integration with the WebDataRocks pivot table.

Example:

var pivot = new WebDataRocks({
    container: "#wdr-component",
    toolbar: true,
    width: "100%",
    height: 350,
    width: 850,
    beforetoolbarcreated: customizeToolbar,
    report: {...}});

Week 3: SVG Filters on Hold

We explored using SVG filters with WebDataRocks but didn’t quite decided on he purpose and the implementation code this week. If you have any ideas on how to make this work, we’d love to hear them!

Week 4. Filter Fest!

The last week was all about combining different filter effects! We created a special demo to showcase the variety of filtering options available in WebDataRocks.

We understand how powerful filters can be for data analysis which is why we ensured WebDataRocks supports three key filter types: 

  • Filtering by member names: Want to focus on specific data points? This filter type allows you to display the values of specific members within your data.
  • Filtering by values (Top/Bottom X): Identify trends or outliers with this filter. Use it to keep only records that fall within a specified range, such as those with values higher or lower than a certain number.
  • A report filter: Take control of your entire report’s data with this filter. Apply it to control what data is displayed across your entire web report.

For more details on filtering in the pivot table, check out our comprehensive documentation and our article ‘Reporting tips & tricks: filtering explained’.

Wrapping Up

That’s a look back at our filter explorations this month! Feel free to check out the demos, experiment with the code, and build something creative! 

This image is for a blog post about creating bubble text for data visualization reports

We love exploring the potential of our tools while participating in CodePen challenges.
In this blog post, we’ll delve into our latest creation for the April “Bubbles” demo: a chocolate themed report styled with bubble text.

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Website adapting to different screen sizes

We’re all so addicted to our smartphones, tablets, laptops, etc. today, right? And, we can’t imagine a single day without them. We use them to browse the internet or play games with apps, don’t we?

So, there is the thing called responsive design? It is a fundamental thing. It’s just a matter of ensuring that websites and apps look cool on any screen size, be it a desktop or Android. It is important that your site is not only visible but also runs perfectly on every device.

And we have to say that using responsive design is a huge advantage. It’s about creating a seamless navigation experience, regardless of whether the users are on their phone, tablet, or laptop. This article is going to explain what responsive design is, why it is useful, and how you can get it right.

What is Responsive Design?

Responsive design is a term that implies a website should look good no matter the gadgets you are using. It´s about ensuring proper formatting of content, which is easy to read and navigate and exhibits no excessive scrolling.

Why Responsive Design Matters and Keep Your Users Interested

Responsive design is not a passing trend, not a should-have, but a must-have. Let’s break down why it’s crucial for how users engage with your website:

1. User experience (UX) is the quality of interaction between the user and the product or service.

Responsive websites are created to fit on any device you use, allowing navigation to be convenient and content to be readable. People can play the game wherever they want, regardless of whether they are using their desktop or mobile devices.

2. Accessibility Boost:

Responsive design is the way to make your site accessible to every person in the world including those who have disabilities. It makes it easy to reach your target. Also, the features such as speech recognition and screen magnifiers make it easy to use.

3. Conversion Magic:

94% of the visitors that are not satisfied with the webpage leave it due to the speed of the website. Smooth experiences are a key factor in drawing visitors’ attention and keeping them on the website for longer periods, and consequently, more likely to convert to customers.

Key Strategies to Nail Responsive Design

To get your website into the spotlights, you need to make some of the crucial steps. Let’s check out what you need to do to rock responsive design: Let’s check out what you need to do:

Start with Mobile

Many people are so “tied to the phone” now; therefore, start with a design that is a mobile phone oriented. Think of a well-organized and fast-loading navigation and content that loads quickly and easily.

Flex with Media Queries

Use CSS magic to adjust your design for a range of screen sizes. Begin with those that are right in front of you, and then expand as you go.

Go with the Flow

As a web design company, you should forget rigid layouts. Apply the use of fluid grids that make the webpage change in shape automatically for any screen size. It is the unity in the set of things that keeps it going and doing well.

Size Matters for Media

Contrary to the past when screens were all of the same size, today, we need to be sure that images and videos would fit every screen, no matter what. Apply CSS tricks to ensure that the images remain defined without compromising on quality.

Type It Right

No matter what device you use, make your text look good! Make it fancy with CSS units like VW or EM that will not hurt the eyes and, at the same time, look cool.

Test, Test, Test

When every essential component is in place, take your website for a test drive. Either use Google Mobile-Friendly Test or actually play around with devices so as to be sure that it’s properly optimized.

Wrap-Up

Designing a responsive website is not something that is new anymore; it has become a necessity. As more gadgets would be coming on the market, you also need to be prepared. Similarly, it is about inclusivity and how to keep the user base engaged. Therefore, start with the responsive design immediately and you will be amazed how the site would look afterward.

What else to read?

The human brain processes visual cues faster than written ones. According to Visme (2022), 90% of the information communicated to our brain is visual. This is why utilizing visual aids in problem-solving helps people to find solutions faster. Visual problem-solving refers to the process of finding solutions to problems with the use of visual aids like flowcharts, diagrams, maps, infographics, etc. In simple terms, you solve problems using visual aids. This method helps people understand the situation better as visual tools showcase how elements relate to each other more clearly. 

The significance of visual data representation lies in its ability to make people see and understand data easier and better. With visual elements, complex data becomes easier to grasp so that everyone can understand them no matter their level of expertise. Visual data representation also helps businesses to gather insight from vast amounts of data. It simplifies data representation and allows it to be used efficiently by entrepreneurs.

The Role of Visual Data Representation in Problem-Solving

1. Communicating Complex Information

Visual data representation can transform complex ideas into simple information, making them easier to communicate to other people. It can bridge gaps in the communication process, especially when working with people from different backgrounds and levels of expertise. Visual data representation makes it faster to disseminate concepts, findings, and solutions to others, enabling efficient collaboration within teams.

2. Enhancing Understanding and Analysis

Visual data representation makes individuals understand and analyze complicated problems more easily. Visual tools to convey data and abstract ideas can make complex concepts easier to grasp, particularly when handling and analyzing essential aspects and relationships within a problem. It aids in breaking down difficult problems transforming them into smaller components that are easier to manage and understand.

3. Enabling Informed Decision-Making

Visual data representation enables informed decision-making. Visualization tools help people evaluate and compare different concepts or solutions, allowing for more informed decision-making. Its decomposition of complex problems into manageable components allows for a more structured problem-solving process. Furthermore, it reduces the probability of having cognitive biases that may affect choices.

Types of Visual Data Representation

1. Graphs and Charts

a. Line Graphs

A line graph is a chart that displays a line joining several points or a line that shows the relationship between two points. It is commonly used to display data or information that changes over time. It consists of the horizontal “x-axis” and vertex “y-axis”.

b. Bar Charts

A bar chart is a graph that displays categorical data using horizontal or vertical bars with heights or lengths in proportion to the values they represent. It is commonly used to present categorical and discrete or continuous variables grouped in class intervals. 

c. Pie Charts

A pie chart is a circular graph that is divided into slices or sectors to present numerical proportions. The length or size of each slice or section is proportional to the data it is meant to represent.

2. Infographics

a. Visual Storytelling Through Data

An infographic is a visual image used to represent information, data, or knowledge. It tells a story visually through data, enabling a more compelling way to make people learn and understand information. An infographic with good visual storytelling includes great content, typography, colors, symbols, grids, hierarchies, icons, white space, and more. You can create and enhance your infographics by using a background remover to efficiently remove unnecessary backgrounds from the visual elements in your infographic so people can focus more on the visual storytelling and not get distracted. 

b. Combining Text and Graphics for Clarity

Infographics provide clarity by combining text and graphics. It helps in summarizing complex situations, managing information, heightening engagement, and increasing comprehension. By having graphics and text together, infographics give a clearer view of the data or information presented so different individuals can easily understand them.

3. Heatmaps and Treemaps

a. Identifying Patterns in Data Density

A heatmap is a 2D data visualization tool that represents data using colors to show density or magnitude. Heatmaps are commonly used in marketing, website analytics, and consumer behavior. For example, heatmaps are used to display the behavior of users on a website through pattern recognition. Particular colors are used to show the website’s frequent and infrequent clicks.

b. Hierarchical Representation of Information

A treemap is another data visualization tool used to showcase the hierarchical representation of information. It includes nested rectangles which represent categories within the area in a “tree”. Individuals can compare and display the hierarchy, quantity, and pattern based on their space on the chart.   

5 Tips on How to Visualize Data to Facilitate Problem-Solving

1. Identify Trends and Patterns

a. Recognizing Correlations in Data

You can visualize data by recognizing their correlations. Once you know their relationship, you get to group them, identify patterns and trends, or display their correlation visually to enable faster communication and more efficient problem-solving.

b. Uncovering Anomalies and Outliers

Anomaly and outlier detection is another power of data visualization. You get to uncover anomalies and outliers that pertain to data that are significantly different from other data. By detecting these, you get to know what area you should focus on during problem-solving.

2. Simplify Complex Information

a. Condensing Large Datasets

Data visualization tools like charts allow you to break down or condense large datasets into smaller and easy-to-understand formats. You categorize data or divide them into groups instead of just seeing them as a whole. By simplifying large amounts of data, it is easier to get insights and show findings you won’t get just by looking at the raw datasets.

b. Enhancing Data Accessibility for Stakeholders

By making complex data easier to understand, you enhance their accessibility for stakeholders. Your stakeholders, whatever their profession or level of expertise, can easily grasp the information you want to deliver because you have made the data accessible enough for them to understand quickly. This allows for more effective communication between you and your stakeholders.

3. Support Hypothesis Testing

a. Visual Confirmation or Refutation of Hypotheses

Data visualization tools enhance hypotheses by confirming, refuting, challenging, or expanding the ideas based on the existing data. Visualization can showcase if the hypotheses are affected by the division of shapes, data outliers, and particular subgroups.

b. Iterative Problem-Solving Processes

You can discover contradictory or unexpected findings to your hypotheses during your iterative problem-solving process through data visualization tools. You test your hypothesis repeatedly until you achieve your desired result. With visualization, you can continually improve your hypothesis.

4. Tools and Software for Visual Problem-Solving

a. ClickUp 

ClickUp is a visual problem-solving software that ensures the efficiency of your team’s collaboration. It makes sure that the members of your team are on the same page all the time. A live collaboration tool lets you create or edit documents with your team. It also includes virtual whiteboards to aid you in your problem-solving processes. The whiteboard feature helps your team brainstorm or generate ideas to solve problems you want to address. Mind maps are also available on the site, which lets you identify significant relations, gather useful insights, and execute creative approaches through mapping the connections between datasets and concepts. 

b. Hive 

Hive is a data visualization tool that provides insightful solutions to your problem-solving processes. With Hive, you can get your team to face difficult challenges and improve their problem-solving abilities. It’s an engaging visual problem-solving platform that makes you see what your team members are doing. Its collaborative work management feature allows you to work with your team to address and solve issues efficiently. It has a user-friendly interface, project hierarchy, Gantt view, and Kanban view, which help you better manage your timelines and progress.

c. Tableau 

Tableau is one of the most popular tools for visual problem-solving big companies use. With the platform, you can make several types of maps, graphs, and charts and connect to various sources of data. It efficiently produces visualizations from small-scale to large-scale datasets commonly used for artificial intelligence and machine learning. Tableau is known for its high-quality performance, user-friendly interface, and great data visualization tools.

d. Trello 

Trello is a visual problem-solving platform that effortlessly streamlines your work processes by organizing tasks using the drag-and-drop feature. Its collaboration and communication tools let you prioritize tasks and responsibilities efficiently. It has a map that exhibits an overview of your projects so you can see tasks, progress, and dependencies visually. Trello ensures you can solve issues through its effective task-management tools

e. Asana

Last on the list is Asana. It is another well-known visual problem-solving platform that improves your decision-making efficiency. It can be used for several small projects and for teams without complicated workflows. It has a customizable workflow feature aids your team in their unique needs by automating repetitive tasks. It has Kanban boards, Gantt charts, and other data visualization tools used to enhance your problem-solving processes. Lastly, it can be integrated with popular tools like Google Drive, Microsoft, Zoom, etc.

5. Integration with Business Intelligence Systems

a. Leveraging Data for Strategic Decision-Making

Data visualization tools help you leverage data to have strategic decision-making. Visualized data integration allows you to access the data you need making it easier for you to make informed decisions for your business, fueling your business’ competitive intelligence.

b.  Real-Time Analytics and Reporting

Real-time analytics and reporting involve gathering live data and sending it to users as it happens. You relay information based on the latest happenings so you or your managers can decide quickly based on the visualized real-time data you reported.

Practical Applications of Visual Problem-Solving

1. Business and Financial Analysis

a. Visualizing Key Performance Indicators (KPIs)

You can use visual problem-solving in a practical setting by using it for your business and financial analysis. You can apply it by visualizing your Key Performance Indicators or KPIs. To do it, you can simply compare a base value to a target value. You can also use charts and graphs to efficiently present the quantitative nature of your KPIs so you can bring out insightful observations from your team. It simplifies evaluating your project or campaign by clearly seeing the KPIs in place.

b. Forecasting and Trend Analysis

Another way to apply visual problem-solving is to forecast and analyze trends. Using visual tools like line and bar graphs, you see trends over time and draw forecasts from them. You see and build a pattern recognition over time, allowing you to create assumptions that you can use in your next problem-solving sessions. With visual tools, you get the idea of what may happen in the future based on your previous reliable visual data.

2. Scientific Research and Exploration

a. Visualizing Experimental Data

Data visualization plays a significant role in scientific research and exploration. It is applied by visualizing experiments to make them easier for stakeholders to understand. Using graphs, charts and other tools allows stakeholders to efficiently determine issues, identify new trends, and gain insightful information from hard-to-grasp experimental or novel data.

b. Communicating Research Findings Effectively

With visual aids, you also get to communicate your research findings effectively. You can use line graphs to see the changes in trends over time. You can use pie charts to show the percentage of an item from a whole and draw conclusions from them. Visual aids make it easier for you to convey the results of your research to other people.

Best Practices for Visual Problem-Solving

1. Choosing Appropriate Visualization Techniques

To maximize the potential of visual problem-solving, you need to pick the appropriate visualization techniques for your team. You have to ensure that the strategy you employ will help you and make your job easier rather than burden you. By choosing the appropriate data visualization techniques, you can efficiently solve even complex problems with your team. You ensure that your team members are knowledgeable of the strategy so you can reap its full potential.

Consider tools like WebDataRocks, which seamlessly integrate with various charting libraries. This flexibility empowers you to choose the perfect chart type for your data and audience, maximizing the impact of your visualizations.

2. Ensuring Data Accuracy and Integrity

Whatever industry you are in, you must ensure your data’s accuracy and integrity. You have to make sure that all data you present visually are facts and are based on research. You must have evidence to prove and back them up when questions arise. You must double-check all the data present and be 100% sure that they are accurate. This will allow you to provide real information to your team or stakeholders and prevent you from having problems in the future.

3. Encouraging Iterative Exploration and Analysis

You improve by repeating or doing the same thing daily. The same is true for visual problem-solving. You should employ iterative exploration and analysis to ensure that you are constantly improving your decision-making. By exploring and analyzing things continually, you allow continuous adjustment to your project or business process based on the results and feedback you get.

Conclusion

All in all, data visualization truly helps in the decision-making and problem-solving process. It simplifies data and makes them easier to understand for stakeholders. It also enables more engagement from your team and allows them to gain new insights based on the data they see visually. Visual tools and platforms enhance your and your team’s decision-making abilities, providing you with more insightful solutions to solve problems and challenges.


Thank you for the article to Vy, she a content writer for Removal.AI– an AI tool used to remove bg from images for social media, eCommerce, web, app development, and marketing automation. She loves to share her insights about tech, AI, and marketing. 

What else to read?

Data is one of the core components of every business. Data helps to improve the efficiency in problem solving, decision making, generating an ability to function proactively, and focus on sustainability. It is the backbone of customer service, marketing, sales, accounting, etc. Earlier, businesses managed with just  static data from spreadsheets and other documents to analyze their performance and suggest relevant improvements. With the innovative technologies like AI, analytics etc, businesses can now transform the static data and use them  to optimize customer experiences. 

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As we step into 2024, the landscape of Big Data and analytics continues to evolve at an unprecedented pace. Businesses and technologists alike are keenly observing emerging trends and adapting to leverage data more effectively. This post delves into the key trends shaping the future of Big Data and analytics, offering insights and best practices to navigate this dynamic terrain.

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Cover image to the article How is AI being used in Web Development

Having an intuitive online presence is crucial for the success of the organization of any domain. Businesses have realized it and are opting for stunning and easy-to-navigate websites. It not only improves their online presence but provides opportunities for generating more revenue.

Developers leverage cutting-edge programming frameworks and tools to deliver websites that exceed business owner’s expectations. They ensure that a website is user-friendly, responsive, fast-loading, etc. But all this requires time. 

Website designers and developers were looking for ways to automate processes without dropping the quality of websites. AI in web development has emerged as a solution to enhance website quality and overcome its challenges. 

Today, the ways of designing and developing user-friendly websites have entirely changed because of the advent of AI. It enhances the productivity of designers and developers. According to a GitHub survey, an astonishing 92% of US developers use AI coding tools to help them with their work.

This article will discuss how artificial intelligence impacts web development. But before that, let’s look into how AI in web development enhances the productivity of developers and the top AI tools for web development.

How AI in web development enhances the productivity of developers

AI in web development has the potential to transform the way developers design and develop websites. It significantly enhances the developer’s productivity by automating mundane tasks. Here is how AI improves the web development process:

1. Know Customer Better

What do you think is the most important thing to know when converting visitors into customers? You might have guessed it right: better understanding of your user behavior. AI tools understand the user’s patterns and give invaluable insights from user data. It allows developers to offer personalized experiences to enhance their satisfaction and nurture meaningful connections with them.

2. Saves Time

AI in web development significantly saves time by automating tasks like code completion, generating code snippets, identifying performance issues, and more. Not only does it save time during code completion, but it also saves time while debugging code. They can invest this time in more crucial development processes.

3. Performance Optimization

Imagine an assistant that analyzes the performance of a website, including loading speed, mobile responsiveness, and more. Won’t it ease the developers and improve their efficiency? That’s what AI in web development brings to the table. AI also assists in optimizing code by providing code quality recommendations to developers.

4 Best AI Tools for Web Development

AI tools are being utilized in web development to remove redundant processes, enhance productivity, and streamline processes. Here are some of the best AI tools for web development that you must try:

1. GitHub Copilot

GitHub Copilot is the best tool that auto completes the code and provides real-time suggestions to improve the code. It is especially helpful when it comes to identifying bugs and resolving them. It enhances the productivity of developers by automating the coding. It also generates documentation by understanding the code. 

What’s more, it offers multi language support that enables developers to utilize it for different programming frameworks, including JavaScript, Python, and more. 

2. TensorFlow

Many of you might be familiar with TensorFlow. It is one of the most used open-source AI/ML tools among developers. One of the reasons behind its success is its flexible architecture that aids developers in developing, training, and implementing AI models.

Some key features of TensorFlow that make it the go-to AI tool are efficient working with multi-dimensional arrays, computation scalability, and support of deep neural networks.

3. Adobe Sensei

It would be an injustice to talk about the best tools that enhance the designer’s and developer’s productivity and not include Adobe Sensei. It is one of the top AI tools that elevates the digital experience by automating the design process. 

This tool is not just for web designers and developers but also marketers and content creators. Its ability to automate image editing, predictive analytics, and content intelligence shows the true impact of AI in web development. It provides intelligent insights and accelerates workflows to save significant time for users.

4. Wix ADI

Another invaluable tool that showcases the impact of AI tools on web development is Wix ADI. It has the ability to create tailored websites depending on the inputted data or query. 

All you have to do is provide some crucial information about your desired website, including its purpose, features, and more. Moreover, its capability to integrate content from the web makes it an outstanding option to use for making the web development process smooth.

8 Exciting Ways of Using AI in Web Development

The potential of artificial intelligence isn’t limited to any specific industry or task. It has hundreds of advantages to offer in every aspect. However, choosing a leading and reliable AI development company matters a lot. It empowers you to get your desired website while leveraging the capabilities of AI at the same time. 

Here are different ways of using AI in web development:

1. Faster Coding

Undoubtedly, coding requires a lot of effort and time to deliver the best results. Developers were looking for a solution that could assist them and improve the web development process. 

Today, several AI assistants and tools are available that have made coding a breeze. These tools and assistants automate the website development processes. By doing so, AI reduces the time to build intuitive websites without compromising the quality.

2. Personalized User Experiences

According to a report, 90% of leading marketers say that personalization contributes to business profitability. This massive number indicates the significance of prioritizing user experiences. 

AI algorithms have the ability to analyze user browsing history, preferences, and other insights to deliver tailored recommendations and user experiences. It significantly improves user engagement, increases loyalty, and enhances sales.

3. AI Chatbots for Engagement

Did you ever have a coincidence of seeing a pop-up appearing on a website with an aim to start a conversation with you? These are smart AI chatbots in action. These AI chatbots are available 24/7 to answer user queries, provide information, search relevant items, and even schedule appointments. 

AI chatbots are a great way of engaging users even at night when it is not possible for a human agent to resolve the queries of users. These AI chatbots have eased humans by reducing the workload. These chatbots satisfy users by resolving their concerns, which opens up new opportunities for converting them into customers.

4. User Behavior Analysis

Users are the lifeblood of any business. Happy users mean one step forward towards a successful business. Websites, being the first point of interaction, hold significant importance. It is necessary to improve the website design or content if required. But how to know whether your users are satisfied? 

Several AI-driven tools are available that provide insights about how users interact with your website. These insights provide you with information about user satisfaction and the website areas for improvement. It empowers developers to make necessary changes and increase user trust and loyalty to your brand.

5. Prototyping

Prototyping is of the utmost importance in the website development process. It offers a visual representation of the layout and functionality of the website. Additionally, it reduces the risks of any ambiguity earlier in the development process. However, it requires a lot of time to prototype.

AI in web development accelerates the process of website prototyping. It empowers designers to refine the prototype conveniently and quickly. AI also considers user sentiments and industry standards during the prototype process. It saves time and enhances the user experience to generate more revenue.

6. Voice Search Optimization

Voice search is the new meta. It has gained significant attention over the years. Businesses are looking to take advantage of this functionality by adding it to their websites. AI aids in making this feature a success. 

How? AI understands voice messages and replies with the most appropriate search results. It significantly enhances user satisfaction and helps to build long-term relationships.

7. Automated Testing

If you have some experience with developing, you must know that finding a syntax error can take upto hours. Debugging is hectic and time-consuming. However, several AI tools have emerged that made it easy to debug code within seconds. It allows your code to run smoothly and removes any performance concerns as well.

8. Better SEO

Many businesses made the mistake of overlooking SEO. You must avoid this mistake by prioritizing SEO equally as important as coding during the web development process. After all, what’s the point of developing a website when it won’t reach its targeted audience?

Additionally, changing search engine algorithms are focusing on user intent and semantic SEO. It is a time-consuming and exhausting job to do. Moreover, it isn’t the task of only a single person; you require a proper team to do the job, which can be costly.

Don’t worry; AI has saved you and developers from the hassle of managing SEO. Several AI tools are available that help to optimize your website, thus increasing the organic traffic. Not only will your website rank higher in search engines, but it will also drive conversion.

How does web development benefit your business?

Your website can be the first point of contact for your potential client. The first impression that you give about your business via the website must be positive. Why? Because it helps them have a perspective of how good you and your services will be. 

A good website helps to attract and engage visitors and convert them into customers. Here are some benefits of having a website:

1. Enhanced Visibility & Accessibility

The importance of web development can never be overstated. It breaks the barriers of geographical boundaries and makes it 24/7 accessible to everyone around the globe. It acts as a digital storefront that provides information about your offerings. But can a mere website do the trick? Your website must be user-friendly and easy to navigate to turn your visitors into potential clients.

2. Brand Consistency

The ability to create a consistent brand identity shows why website development is important. It means you can have the same branding across all digital platforms. But how is it possible? You can add colors, logos, and more to the web design to make it perfectly match your identity and values. Having a well-designed website offers a professional look and improves the brand’s authenticity.

3. Better Sales

When internet users can reach out to you from around the world and can see the brand consistency throughout the platforms, it helps to increase sales opportunities and generate more revenue. A well-designed and fully functional website makes a difference in attracting more visitors. It allows businesses to showcase their products or services to engage potential customers, thus increasing the chances of more sales.

4. Competitive Advantage

Having a website plays a crucial role in the making of a business. It is more than just having a digital presence. Website development gives a competitive advantage to your businesses as your customers can easily reach out to you. Moreover, you can utilize digital marketing and SEO techniques to improve search engine ranking and attract your targeted audience. It provides untapped opportunities for growth and gives you a competitive edge over rivals.

Will AI replace web developers?

If you are a developer or a software engineer, you must have pondered whether AI will replace developers or engineers. The simple answer is No. AI won’t replace web developers or software engineers. It acts as an assistant to enhance their productivity and ease them to focus on core aspects. 

AI in web development is capable of automating mundane tasks but is not able to start a project from scratch and complete it. It isn’t able to think creatively and solve complex problems outside of the constraints of AI models.

To delve deeper into emerging trends, check out this article on the future of software development: Software Development Trends.

Conclusion

Artificial intelligence has transformed the web development process. It has empowered designers and developers to develop secure, user-friendly, and responsive websites to engage audiences. AI in web development saves time and provides opportunities for sustainable business growth. Several new AI tools will emerge with further advancements in technology and will reshape the web development and design processes.

What else to read?

A collage of four web reports in different styles: bento, neo-brutalism, Y2K, and gradient glow.  
When it comes to web reporting, the main focus is on the performance and functionality of your software. Still, visual styling can also positively impact your reports or dashboards. It can enhance key points, highlight hierarchy, and even give you the vibe of the epoch. 

Our pivot table component comes with eight predefined themes, but sometimes, it’s not enough to create a unique style or to adapt to your existing brand style. Webdatarocks has great potential for customization of your report as you need. To prove it, we participated in the CodePen challenge dedicated to styling. We wanted to show that our component can be a part of any style solution, no matter how diverse or creative. And what better way to do that than to join a challenge that tests your coding skills and imagination?

But first, a little bit about what Codepen challenge is. 

CodePen gives you a new task every week based on a monthly theme. We decided to try the November challenge about Style Trending, which covered such styles as Bento Style, Neo-Brutalism, Y2K Style, and the Gradient Glow Style. The template included the very basics of a fitness app dashboard and style was on us.

Bento Style

The first task was about Bento Style, an ode to digital minimalism. This style emphasizes simplicity, order, and elegance. It is not overloaded with details, so it gives full focus on your data to get valuable insights from it. In our demo, we did exactly that. Our dashboard echoes the Japanese art of bento box arrangement with simplicity and no mess. Each element is where it is supposed to be without any unnecessary decorative elements. Everything is clear, intuitive, and easy to understand, living up to the “less is more” principle.

This style can be excellent for data reporting and analytics thanks to its structural and stylish presentation of information.

Use cases: BI dashboards, financial and executive reports (highlights key insights).

Check it for yourself. 
A web report in Bento style showing a fitness dashboard with data.

Neo-brutalism 

The next style was Neo-Brutalism, so we switched from elegant/structural minimalism to a rebellious style. This style takes its roots from the “raw” brutalist architecture of the 50s-80s, which you can see in hard shapes and strict lines. Nowadays, this style is about bright colors, clean lines, bold fonts, and geometrical shapes.

We managed to implement all this in our demo, which was inspired by Rubik’s Cube. Our dashboard features eye-catching geometric shapes and a vibrant color palette, making the data stand out. 

Use cases: Public awareness campaigns, social impact dashboards, scientific visualizations ( it helps to make a strong impression and highlight the contrast between different data segments.).

Take a look. 
A web report in Neo-brutalism style showing a fitness dashboard with data

Y2K Style

The third style was Y2K Style great style for old schoolers that works almost as a time machine and makes you nostalgic. It’s the place where the analog and digital worlds meet – bright colors, bold fonts and patterns, and a modern twist. 

This style can be fun and engaging for web reporting and data visualization, especially if you want to target a younger or more nostalgic audience. It can also add some humor and personality to your data presentation. It can give the feeling of the early 2000s era.

Use-cases: marketing, educational, social media and trends reports( to give the vibe of the 2000s and retro it can help soften complex data, and increase user interaction) 

Begin to time travel with this demo

Gradient Glow Style

Our final stop was Gradient Glow Style. This modern trend, rooted in early web design, adds depth and vibrancy to digital spaces. Explore the dashboard, capturing attention with a deep green gradient and matcha-colored accents that soften the seriousness of the report.

It can also help you emphasize the most important data points using colors and gradients. 

Use cases: investment dashboards, market research web reports ( it can help make data hierarchy more understandable, improves comprehension.) 

Here is our demo to check. 

Conclusion

No matter what style you need, the WebDataRocks pivot grid can be customized to it.  Explore more examples in our CodePen collection. This is not all customization opportunity, WebDataRocks can also integrate with third-party charting libraries, such as amCharts, Highcharts, Google Charts, or FusionCharts. This way, you can create both eye-catching and interactive data visualizations. If you want to learn more about how to do that, check out our list of tutorials below. 


What else to read?

 

Choosing the best tech stack for mobile app development in 2024Are you trying to figure out how to make a profitable mobile application? It entails many difficulties and factors to be considered, such as determining the budget, particular project specifications, features and functionalities, and more. Nonetheless, picking the right combination of powerful tools and technologies is essential to developing an app. 

Your mobile app’s budget, performance, and maintenance will all be significantly impacted by the tech stack your mobile app development company decides to incorporate within. This emphasizes choosing the right mix of technologies for efficient app development that gives your company a competitive edge.

There are several factors to consider when choosing the best tech stack. Therefore, you should read this guide to choose the appropriate tech stack for creating your project.

Mobile App Development Tech Stack: 4 Main Pillars

A tech stack, a set of tools and technologies, is decided and arranged as per the development needs of software or an application. These development platforms are strategically used to create well-oriented and feature-rich mobile apps. It can include tools for data storage, security management, user interface design tools, and various other frameworks.

This tech stack is bifurcated into four central pillars to make the mobile app development process seamless, as given below:

  1. Back-end

In the back-end development of mobile applications, the decision of technologies depends on the smooth functioning of server-side code and the database. The work of backend developers is to store and manage data, respond to user requests, and ensure frictionless communication between the server and client side. The back-end tech stack supports them in controlling these tasks effectively. 

Back-end Development Programming LanguagesPython, Ruby, Golang, PHP, or Java
Back-end FrameworksDjango, Ruby on Rails, or Laravel
Database Management SystemMySQL, PostgreSQL, or SQLite
  1. Front-end

The front end is at the forefront of any application or software. This is an interface where your users can interact with a digital product. The tech stack chosen to develop the front end of the application manages the user interface and the client-side code running on the device. Developing a mobile app layout includes elements such as buttons, animations, user flow, and links. 

Front-end Development Programming LanguagesHTML, CSS, JavaScript
Front-end Frameworks React, Vue.js, and Angular
  1. Platform 

Your choice of mobile app development tech stack depends significantly on the platform you choose to deploy the app (such as iOS or Android). Here, all libraries and interfaces are pictured as part of the mobile app design and development. Depending on the mobile app platform, specific technologies are selected. 

iOS PlatformDevelopment Tools: Apple Xcode and AppCode, iOS SDK
Programming Languages: Objective-С, Swift
UI Frameworks: SwiftUI, UIKit
Android PlatformDevelopment Tools: Android Studio, Android SDK
Programming Languages: Java Kotlin
UI Frameworks: Android UI, Jetpack Compose 
  1. Hosting

The hosting environment ensures the server-side code runs smoothly on the application as the input-output function depends on it. The fundamental purpose of a hosting platform is to 

  • store data,
  • hosting APIs,
  • scale applications,
  • implement robust security measures,
  • and enhance reliability by minimizing downtime.

Numerous hosting platforms such as Linux, Apache, and Amazon Web Services (AWS) are popular choices in mobile app development. However, cloud hosting services have been the most in demand recently due to their many benefits.

How Do I Choose the Best Tech Stack for Creating Mobile Apps?

The robust tech stack you position will influence how effectively you are able to build the app. However, it requires meticulous planning, a clear vision, and familiarity with the features to ensure you have chosen the right tech stack.

  1. Types of Apps

The choice of technology stack is also driven by the varying features and levels of complexity of various application categories. 

For instance, an app for on-demand meal delivery will provide push alerts, real-time tracking, and smart search and suggestion features. Therefore, you should pick technologies that facilitate easy integration with external parties.

FacebookPHP, Jenkins, LAMP Stack, HHVM, Cassandra, React Native, and GraphQL
AirbnbJavaScript, React, Java, MySQL, Amazon S3, Amazon EC2, Ruby, Rails, Google Analytics, Braintree, and Twilio
UberPython, JQuery, Node.js, React, Java Golang, Kafka, Swift, Objective-CMySQL, EC2, and Hadoop
InstagramObjective-C, Swift, Java, KotlinReact NativeAFNetworking and Facebook SDK
TwitterObjective-C, Java, JavaScript, React, ScalaAWS, GCP, and Microsoft Azure

Note: Remember that these are the primary tech stacks used in developing these apps. An application uses a vast set of technologies for app development. Moreover, technological trends keep changing with time, and thus, companies adopt new tools and frameworks. 

  1. Platform Choice

The type of platform on which you choose to deliver your application has the most influence on the tech mobile app development stack. As mentioned above, iOS and Android applications will have platform-specific technologies. 

In contrast, if you choose to develop a hybrid app, you can use cross-platform frameworks (such as React Native, Ionic, Xamarin, and Flutter).

  1. Features and Functionality

The next factor you need to consider while selecting a suitable tech stack is the features and functionality you decide to integrate into your mobile app. This is because some technologies are better fit to create or embed features like games, augmented reality, or machine learning.

  1. Budget and Resources

Make sure to define your budget and resources (time, expertise, and development team) in the initial stage of development. With a fixed budget, you can ensure your team utilizes the tech stack fully within that cost. 

For example, native app development can be costly and requires more effort. Whereas hybrid or cross-platform app development can be done with open-source frameworks, ensuring a faster and more cost-effective process. 

  1. App Maintenance and Scalability

You must consider whether your application can be scaled with the tool or framework you choose to integrate. Go for the technologies that support a stable system architecture with an increasing user base and traffic. Here, you can select your server, hosting service providers, databases, and programming languages wisely. Ensure they are not getting outdated soon and facilitate app scalability.

Conclusion: Get Experts Help

As mentioned in this article, technologies are growing at an unprecedented rate; thus, it requires the mobile app development company you hire to be updated with the latest tech trends. In conclusion, different types of project requirements, such as budget, app types, technical expertise, and, most importantly, platform choice, affect your choice of tech stack. 

Therefore, as you initiate your project with your partnered app development team, begin with a thorough analysis of the app idea and discovery phase. With this, not only will you be able to decide on a robust technology stack but also ensure your mobile app developers are on the same page.